相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment
Pengfei Chen et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
MTT: Multi-Scale Temporal Transformer for Skeleton-Based Action Recognition
Jun Kong et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
Light Field Image Super-Resolution With Transformers
Zhengyu Liang et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment
Zhaoqing Pan et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2022)
GreenBIQA: A Lightweight Blind Image Quality Assessment Method
Zhanxuan Mei et al.
2022 IEEE 24TH INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP) (2022)
SMART: Semantic-Aware Masked Attention Relational Transformer for Multi-label Image Recognition
Hongjun Wu et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
CSformer: Cross-Scale Features Fusion Based Transformer for Image Denoising
Haitao Yin et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency
S. Alireza Golestaneh et al.
2022 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV 2022) (2022)
Hybrid Transformer-CNN for Real Image Denoising
Mo Zhao et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
HashFormer: Vision Transformer Based Deep Hashing for Image Retrieval
Tao Li et al.
IEEE SIGNAL PROCESSING LETTERS (2022)
Screen Content Quality Assessment: Overview, Benchmark, and Beyond
Xiongkuo Min et al.
ACM COMPUTING SURVEYS (2022)
TRANSFORMER FOR IMAGE QUALITY ASSESSMENT
Junyong You et al.
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2021)
Saliency-Guided Transformer Network combined with Local Embedding for No-Reference Image Quality Assessment
Mengmeng Zhu et al.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021) (2021)
Blind Image Quality Assessment Using a Deep Bilinear Convolutional Neural Network
Weixia Zhang et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)
Perceptual image quality assessment: a survey
Zhai Guangtao et al.
SCIENCE CHINA-INFORMATION SCIENCES (2020)
KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment
Vlad Hosu et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)
On Mean Absolute Error for Deep Neural Network Based Vector-to-Vector Regression
Jun Qi et al.
IEEE SIGNAL PROCESSING LETTERS (2020)
Deep CNN-Based Blind Image Quality Predictor
Jongyoo Kim et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Generating Image Distortion Maps Using Convolutional Autoencoders With Application to No Reference Image Quality Assessment
Sathya Veera Reddy Dendi et al.
IEEE SIGNAL PROCESSING LETTERS (2019)
Authentically Distorted Image Quality Assessment by Learning From Empirical Score Distributions
Qiuping Jiang et al.
IEEE SIGNAL PROCESSING LETTERS (2019)
Blind Image Quality Estimation via Distortion Aggravation
Xiongkuo Min et al.
IEEE TRANSACTIONS ON BROADCASTING (2018)
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
Sebastian Bosse et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
Kede Ma et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2018)
Blind Quality Assessment Based on Pseudo-Reference Image
Xiongkuo Min et al.
IEEE TRANSACTIONS ON MULTIMEDIA (2018)
Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learning
Kwan-Yee Lin et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
PieAPP: Perceptual Image-Error Assessment through Pairwise Preference
Ekta Prashnani et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Deepti Ghadiyaram et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2016)
Making a Completely Blind Image Quality Analyzer
Anish Mittal et al.
IEEE SIGNAL PROCESSING LETTERS (2013)
No-Reference Image Quality Assessment in the Spatial Domain
Anish Mittal et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
Michele A. Saad et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2012)
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
Anush Krishna Moorthy et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2011)
What attributes guide the deployment of visual attention and how do they do it?
JM Wolfe et al.
NATURE REVIEWS NEUROSCIENCE (2004)